Lead Data Science Engineer

We are seeking a highly skilled Lead Data Science Engineer to join our remote team. As a Lead Data Scientist, you will be responsible for developing and implementing machine learning models to improve our understanding of healthcare pricing and help people find affordable services. You will work with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers. Additionally, you will develop and refine algorithms to identify healthcare trends and predict healthcare costs, as well as personalization and recommendation models, analyze product performance and customer insights, and drive product recommendations within tightly constrained requirements. Responsibilities Develop and implement machine learning modelsWork with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumersDevelop and refine algorithms to identify healthcare trends and predict healthcare costsDevelop personalization and recommendation models, analyze product performance and customer insightsPerform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirementsProvide price comparison and price recommendationsDemand forecasting / supply shortageCustomer segmentation/analytical atop of web analytics dataDeliver presentations on test resultsCollaborate with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of core business areasMonitor and mentor the team members Requirements 5+ years of experience in Data ScienceRelevant leadership experienceExperience with Data Mining, Machine Learning Model DevelopmentMust have skills in Amazon Redshift, Amazon Web ServicesKnowledge of PostgreSQLFamiliarity with Predictive AnalysisExperience with data management and modelingExpertise in statistical analysis and modelingStrong communication skills in English (Upper-Intermediate level) Nice to have Experience with Amazon EMR and Apache SparkExperience with recommendation systemsKnowledge of Python We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn